Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.
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Updated
Oct 2, 2018 - Python
Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.
Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.
Some recent Quantizing techniques on PyTorch
Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
A simple deep neural net class written to work with Numpy and Cupy
Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"
An implementation of the Binarized Neural Networks
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
Neural Property Approximate Quantifier
Tools and libraries to run neural networks in Minecraft ⛏️
This repository contains the python code related to the Master's Thesis. In particular, this code is in charge of setting up the NN and training them, calculating the importance and developing the design procedures for reducing the final logic implementation complexity.
This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
Reference implementations of popular Binarized Neural Networks
An Open-Source Library for Training Binarized Neural Networks
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